Evidence map›Paper›PMID 41068855›Full record

ArticleMalaria journal2025

Indigenous knowledge systems and malaria prevention in Zimbabwe: a market basket analysis.

Byron Chapoterera, Anesu Marume, Nicholas Midzi, Keshena Naidoo

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Article in Malaria journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Byron ChapotereraCollege of Health Sciences, University of KwaZulu-Natal, Durban, South Africa. 222131292@stu.ukzn.ac.za.
Anesu MarumeFaculty of Medicine and Health Sciences, Global Public Health and Family Medicine Department, University of Zimbabwe, Harare, Zimbabwe.
Nicholas MidziMinistry of Health and Child Care, National Institute of Health Research, Harare, Zimbabwe.
Keshena NaidooCollege of Health Sciences, University of KwaZulu-Natal, Durban, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalaria remains a major public health challenge in Zimbabwe, reporting the highest prevalence in Manicaland Province, where indigenous health practices and religious beliefs influence healthcare-seeking behaviours. Understanding the interplay between biomedical and traditional approaches is essential for designing culturally sensitive malaria control strategies. The study explored malaria prevention practices and the role of indigenous knowledge systems, including traditional and spiritual health practices, among adults in Manicaland Province, Zimbabwe.

methodsA cross-sectional study was conducted among 480 adults aged 18 years and above, recruited through stratified random sampling. Data were collected using structured questionnaires administered in face-to-face interviews. Variables included sociodemographic characteristics, recent malaria experiences, use of indigenous and biomedical malaria prevention methods, and visits to health facilities, traditional healers, or church prophets. Descriptive statistics were computed, and association rule mining (ARM) using the Apriori algorithm in R was employed to identify frequent co-occurring behaviours and health-seeking patterns.

resultsParticipants were predominantly female (69.0%) and within the 25-44 age range (57.5%). A majority reported employment (60.0%) and low household income (47.9%). In the previous three months, 36.7% of respondents and 54.0% of families had experienced malaria. Primary sources of indigenous knowledge included older people (27.7%), informal discussions (7.7%), and observations (5.6%). Association rule mining revealed strong linkages between visits to church prophets and avoidance of traditional healers, as well as notable patterns involving use of cow dung, health facility visits, and indigenous practices. For instance, individuals who visited prophets were highly likely not to have visited traditional healers (support = 0.66, confidence = 0.91, lift = 1.08).

conclusionHealth-seeking behaviour for malaria in Manicaland Province is influenced by complex interactions between spiritual, traditional, and biomedical systems. Indigenous knowledge plays a significant role in malaria prevention and treatment. Public health programmes should integrate culturally informed strategies that respect local belief systems while promoting effective malaria control interventions.

Indexed as

Health Knowledge, Attitudes, PracticeMalariaPatient Acceptance of Health CareAdolescentAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesYoung AdultZimbabweAssociation rule miningHealth-seeking behaviourIndigenous knowledgeMalaria preventionTraditional medicineZimbabwe

Identifiers

PMID41068855
PMCPMC12509361

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.